IEEE Computational Intelligence Magazine

Issue 4 • Nov. 2017

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  • Front Cover

    Publication Year: 2017, Page(s): C1
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  • IEEE World Congress on Computational Intelligence WCCI 2018

    Publication Year: 2017, Page(s): C2
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  • Table of Contents

    Publication Year: 2017, Page(s): 1
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  • IEEE Transactions on Emerging Topics in Computational Intelligence

    Publication Year: 2017, Page(s): 2
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  • CIM Editorial Board

    Publication Year: 2017, Page(s): 3
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  • End of Second Term as Editor-in-Chief [Editor's Remarks]

    Publication Year: 2017, Page(s): 3
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  • Staff List

    Publication Year: 2017, Page(s): 4
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  • CIS Publications in the Spotlight [President's Message]

    Publication Year: 2017, Page(s):4 - 13
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  • Conference Report on 2017 IEEE Congress on Evolutionary Computation (IEEE CEC 2017) [Conference Reports]

    Publication Year: 2017, Page(s):5 - 6
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  • Conference Report on 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017) [Conference Reports]

    Publication Year: 2017, Page(s):6 - 8
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  • CIS Publication Spotlight [Publication Spotlight]

    Publication Year: 2017, Page(s):9 - 11
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  • Computational Intelligence in Aerospace Science and Engineering [Guest Editorial]

    Publication Year: 2017, Page(s):12 - 13
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  • Robust Design of a Supersonic Natural Laminar Flow Wing-Body

    Publication Year: 2017, Page(s):14 - 27
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (5701 KB) | HTML iconHTML

    The robust design of a natural laminar flow wingbody for a supersonic business jet is here described. The pursued goal is to obtain a wing shape whose performance is influenced as least as possible by geometrical uncertainties. The starting point is a supersonic business jet wing-body that was already optimized for natural laminar flow using a deterministic objective function formulation. The defi... View full abstract»

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  • Modelling Behaviour in UAV Operations Using Higher Order Double Chain Markov Models

    Publication Year: 2017, Page(s):28 - 37
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1789 KB) | HTML iconHTML

    Creating behavioural models of human operators engaged in supervisory control tasks with UAVs is of great value due to the high cost of operator failures. Recent works in the field advocate the use of Hidden Markov Models (HMMs) and derivatives to model the operator behaviour, since they offer interpretable patterns for a domain expert and, at the same time, provide valuable predictions which can ... View full abstract»

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  • An Intelligent Packing Programming for Space Station Extravehicular Missions

    Publication Year: 2017, Page(s):38 - 47
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2256 KB) | HTML iconHTML

    Packing programming for extravehicular missions to the space station is the process of arranging a set of missions into multiple extravehicular activities. It is an interesting combinatorial optimization problem developed from the traditional bin-packing problem. This paper first formulates a practical mathematical model that considers both the constraints of the time window for each extravehicula... View full abstract»

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  • Knowledge Transfer Through Machine Learning in Aircraft Design

    Publication Year: 2017, Page(s):48 - 60
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3508 KB) | HTML iconHTML

    The modern aircraft has evolved to become an important part of our society. Its design is multidisciplinary in nature and is characterized by complex analyses of mutually interdependent disciplines and large search spaces. Machine learning has, historically, played a significant role in aircraft design, primarily by approximating expensive physics-based numerical simulations. In this work, we summ... View full abstract»

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  • Benchmarking Ensemble Classifiers with Novel Co-Trained Kernel Ridge Regression and Random Vector Functional Link Ensembles [Research Frontier]

    Publication Year: 2017, Page(s):61 - 72
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3578 KB) | HTML iconHTML

    Studies in machine learning have shown promising classification performance of ensemble methods employing "perturb and combine" strategies. In particular, the classical random forest algorithm performs the best among 179 classifiers on 121 UCI datasets from different domains. Motivated by this observation, we extend our previous work on oblique decision tree ensemble. We also propose an efficient ... View full abstract»

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  • PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]

    Publication Year: 2017, Page(s):73 - 87
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    Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and comprehensive software platform for researchers to properly benchmark existing algorithms and for practitioners to apply selected algorithms to solve their real-world problems. The demand of such a common tool becomes ev... View full abstract»

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  • How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum]

    Publication Year: 2017, Page(s):88 - 100
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    Rapid development of evolutionary algor ithms in handling many-objective optimization problems requires viable methods of visualizing a high-dimensional solution set. The parallel coordinates plot which scales well to high-dimensional data is such a method, and has been frequently used in evolutionary many-objective optimization. However, the parallel coordinates plot is not as straightforward as ... View full abstract»

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  • A Primer on Cluster Analysis: 4 Basic Methods That (Usually) Work [Book Review]

    Publication Year: 2017, Page(s):98 - 100
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  • 2019 IEEE International Conference on Fuzzy Systems

    Publication Year: 2017, Page(s): 101
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  • Conference Calendar [Conference Calendar]

    Publication Year: 2017, Page(s): 102
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  • Call for Papers for Journal Special Issues

    Publication Year: 2017, Page(s): 104
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  • IEEE Conference on Computational Intelligence and Games

    Publication Year: 2017, Page(s): C3
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  • 2018 IEEE Symposium Series on Computational Intelligence

    Publication Year: 2017, Page(s): C4
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Aims & Scope

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE/CIS).

Full Aims & Scope